Mountain method-based fuzzy clustering: Methodological considerations
The mountain method is a grid-based procedure for determining the approximate locations
of cluster centers in data sets with clustering tendencies. This paper supplies additional …
of cluster centers in data sets with clustering tendencies. This paper supplies additional …
On the use of combinability functions for intelligent defuzzification
RR Yager - … of 1995 IEEE International Conference on Fuzzy …, 1995 - ieeexplore.ieee.org
We suggest a new approach to the problem of defuzzification. This approach is a knowledge
based approach in that it uses knowledge in terms of a combinability function to help to more …
based approach in that it uses knowledge in terms of a combinability function to help to more …
An autonomous approach to the mountain-clustering method
This paper presents an autonomous approach to the clustering algorithm based on a
mountain function proposed by Yager and Filev (1994). It intends to answer the parameter …
mountain function proposed by Yager and Filev (1994). It intends to answer the parameter …
Constructing prioritized fuzzy models
RR Yager - International Workshop on Fuzzy Logic in Artificial …, 1995 - Springer
We introduce a hierarchical type fuzzy systems model called a Hierarchical Prioritized
Structure (HPS) and review its structure, operation and the inter-level aggregation algorithm …
Structure (HPS) and review its structure, operation and the inter-level aggregation algorithm …
Determining data clusters' fine center, extents, and membership functions using a modified mountain method
JA Kelly, RR Yager - Applications of Fuzzy Logic Technology II, 1995 - spiedigitallibrary.org
This paper describes a stand alone Mountain Method (MM) to determine clusters' fine center
position, extents, and membership functions. The motivation for this fuzzy clustering …
position, extents, and membership functions. The motivation for this fuzzy clustering …
A generalized fuzzy covariance matrix
JM Barone - International Journal of Uncertainty, Fuzziness and …, 1995 - World Scientific
This paper describes a generalized fuzzy covariance matrix based on the notion of fuzzy
similitude and its application to discriminant analysis. It is shown that this generalized fuzzy …
similitude and its application to discriminant analysis. It is shown that this generalized fuzzy …